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<h1>Case Study</h1>
<p>LEADING WIND TURBINE COMPANY</p>
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<h1>LEADING WIND TURBINE COMPANY</h1></div>
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<h3>ENABLING A PAN-INDIA RENEWABLE ENERGY TRANSFORMATION</h3>
<h6>About the Customer</h6>
<p>Operating as an independent entity and a leader in the renewable energy segment since the 1970s, the customer came together with one of the world’s largest technology companies’ wind business in a 2016 merger. Since then, the Spain-based company has been eager to scale, venturing into regions such as India. As part of this vision, it acquired several of India’s wind capacity projects, necessitating a full IT overhaul. </p>
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<h6>Executive Summary </h6>
<p class="marginBottom">The customer onboarded 38% of India’s additional wind capacity projects in 2016 and required a pan-India centralized wind-farm monitoring solution to ensure nation-wide operations. However, this needed to be seamlessly implemented in very tight timelines, leading to severe IT challenges. SmartCirqls was able to rise to this challenge by ensureing real-time monitoring with analytics on wind farm performance, turbine health, and predictive downtime. Key objectives for the project included: </p>
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<li>Centralizing wind farm monitoring </li>
<li>Customizing rules for alarms based on sensor parameters </li>
<li>Predicting failure before turbine downtime</li>
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<h2>The Solution</h2>
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<p>SmartCirqls was able to address the customer’s concerns by unifying wind-farm data from across all remote and rural locations into the manufacturer’s central IT environment in record time of 3 weeks. It was essential to deploy a local team familiar with the limitations of the landscape. The project was kickstarted with an initial POC encompassing 20 turbines x 18 tags x 10-minute intervals, at a single live farm. </p>
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<p>The wind turbines were able to send data as per 80 sensor parameters per turbine every 10 minutes. Deviation classes for each parameter were defined, successfully predicting the chance of turbine failure. Based on the deviation classes, automated alerts were set up to anticipate different levels of severity and escalation. The manufacturer could proactively send its engineers to investigate issues and repair turbines before a negative incident. The customer thus obtained visibility into each location, regardless of remoteness or physical inaccessibility. </p>
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<h3>Challenges</h3>
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<li>Difficulty in centralizing nation-wide wind farm monitoring operations in only a few weeks</li>
<li>The extremely remote location of India’s rural hubs, where the customer primarily operated </li>
<li>The need for next-gen data analytics to create an “Internet of Things (IoT)” ecosystem</li>
<li>Risk of zero connectivity to farm sites, for days on end </li>
<li>Dated DB systems on-site, requiring extensive upgrade efforts</li>
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<h3>Benefits</h3>
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<li>Covered both MSSQL and SCADA data via Kepware (an industry-accepted data standards for IoT) </li>
<li>Successfully predicted the probability of turbine failure with 24 hrs. lead time to deploy an on-site engineer</li>
<li>Real-time monitoring with analytics on farm performance, turbine health, and predictive downtime, regardless of remoteness or physical inaccessibility. </li>
<li>Automated alerts based on different levels of severity and initiate the predictive maintenance operations before negative incidents </li>
<li>Created informative and interactive visualizations for real time operations dashboards for Corporate Operations Centre.
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<p class="pinkInfo">To know how SmartCirqls can help your organization simplify IT through the power of Splunk’s Big Data technology, contact us at <a href="mailTo:[email protected]">[email protected]</a></p>
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<h5>Data Sources</h5>
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<a href="#">SCADA data via Kepware for real time monitoring</a>
<a href="#">MSSQL data for offline monitoring</a>
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<h5>Solution Domain</h5>
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<a href="#">Internet of Things </a>
<a href="#">Operational Intelligence </a>
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